Skills

Production Code Audit

@sickn33

Low Risk

Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

Snowflake Development

@sickn33

Low Risk

Comprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt integration, performance tuning, and security hardening.

Azure Resource Manager Cosmosdb .NET

@sickn33

Low Risk

Azure Resource Manager SDK for Cosmos DB in .NET.

Scikit Learn

@sickn33

Low Risk

Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.

Alpha Vantage

@sickn33

Low Risk

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

plotly

@sickn33

Low Risk

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Cc Skill Security Review

@sickn33

Low Risk

This skill ensures all code follows security best practices and identifies potential vulnerabilities. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints.

networkx

@sickn33

Low Risk

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

SQL Pro

@sickn33

Low Risk

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Spark Optimization

@sickn33

Low Risk

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Clickhouse Io

@affaan-m

Low Risk

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

polars

@sickn33

Low Risk

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Nosql Expert

@sickn33

Low Risk

Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.

Azure Resource Manager PostgreSQL .NET

@sickn33

Low Risk

Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.

Prisma Expert

@sickn33

Low Risk

You are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.

Database Architect

@sickn33

Low Risk

Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.

Database Admin

@sickn33

Low Risk

Expert database administrator specializing in modern cloud databases, automation, and reliability engineering.

database

@sickn33

Low Risk

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Spark Engineer

@Jeffallan

Safe

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operati

Pandas Pro

@Jeffallan

Safe

Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling

Database Optimizer

@Jeffallan

Safe

Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolut

Data Processing

@0xDarkMatter

Safe

Process JSON, YAML, and TOML data efficiently with transformation pipelines, validation, and format conversion.

Database Optimization

@dbtuner

Safe

Optimize database performance with indexing strategies, query tuning, partitioning, and connection pool management.

Python Database Patterns

@0xDarkMatter

Safe

Implement Python database patterns with SQLAlchemy including ORM models, migrations, connection pooling, and query optimization.